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5 days ago
The role involves leveraging advanced simulation and machine learning approaches to optimize techno-economic performance across large-scale renewable projects.
Key Responsibilities:- Developing and implementing cutting-edge simulation frameworks
- Mentoring teams in modelling, data quality, and uncertainty management
- Providing technical insights to senior leaders for strategic decision-making
- Creating hybrid models combining simulation, optimisation, and machine learning techniques
- Applying machine learning to speed up simulations, identify cost drivers, and optimise systems
- Master's or PhD degree in Data Science, Engineering, Applied Mathematics, Energy Systems, or a related field
- 8+ years of experience in advanced data science, machine learning, or computational modelling, preferably in energy, resources, or process industries
- Proven expertise in simulation-based optimisation, surrogate modelling, and large-scale data integration
- Strong proficiency in C++, Python is strongly preferred
- Familiarity with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
- Demonstrated experience linking engineering/physical models with techno-economic analysis
- A challenging role in a dynamic team
- Opportunities for professional growth and development
- A competitive compensation package
This position requires a highly skilled and motivated individual to drive innovation and excellence in our renewable energy projects. If you are passionate about using data science and machine learning to make a meaningful impact, we encourage you to apply.
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